microservices-with-typescript
Microservices with TypeScript:
Strongly Typed API Contracts:
TypeScript interfaces or types help in defining strict contracts for communication between microservices. This approach ensures that services interact with each other correctly and consistently.
Example:
// Order service API contract
interface Order {
orderId: string;
customerId: string;
amount: number;
}
// Inventory service API contract
interface InventoryRequest {
productId: string;
quantity: number;
}
Code Sharing Strategies:
Common types and interfaces can be shared between services using a shared library or package. It's important to manage these shared types carefully to prevent tight coupling between services.
- Example:
// Shared types library
export interface User {
userId: string;
name: string;
email: string;
}
Isolated Development:
Each microservice should be developed in isolation. TypeScript's module system helps in encapsulating service logic and preventing the sharing of runtime state.
Example:
// UserService.ts
export class UserService {
// Service logic...
}
// OrderService.ts
export class OrderService {
// Service logic...
}
TypeScript for Validation:
The TypeScript type system can be used to validate the shape of API inputs and outputs at compile time. This is in addition to the runtime validation that is typically performed.
- Example:
function validateOrder(order: Order): boolean {
return order && order.orderId && order.amount >= 0;
}
Using DTOs (Data Transfer Objects):
DTOs are used to define the format of data being transferred over the network. TypeScript ensures that the data adheres to the specified structure.
- Example:
// DTO for creating a new user
interface CreateUserDTO {
name: string;
email: string;
password: string;
}
Generics for Reusable Utilities:
TypeScript generics are useful for creating utilities that are type-safe yet can work with various data types.
- Example:
function insertIfNotPresent<T>(array: T[], item: T): T[] {
if (!array.includes(item)) {
array.push(item);
}
return array;
}
Type-Safe Messaging:
For safe communication via messages, TypeScript ensures that the structure of message payloads is strictly followed.
- Example:
// Message format for a new order
interface NewOrderMessage {
type: 'NEW_ORDER';
payload: Order;
}
Integration Testing:
Integration tests written in TypeScript can benefit from the type system for ensuring mock data and response objects are structured correctly.
Example:
// Mock data for a user service test
const mockUser: User = {
userId: 'u123',
name: 'Jane Doe',
email: '[email protected]'
};
// Test to verify user fetching logic
function getUserTest() {
const user = userService.fetchUser('u123');
expect(user).toEqual(mockUser);
}
Centralized Type Management:
Centralizing type management helps maintain type consistency across services, which is particularly useful in a micro frontend architecture, ensuring that all parts of your system are using the same data structures.
- Example:
// Centralized types for a user, used across different services and frontends
export interface User {
id: string;
name: string;
email: string;
}
Versioning Typed APIs:
Versioning of API types allows services to evolve and add features while still being able to communicate with services using older versions.
Example:
// Version 1 of a user interface
export interface UserV1 {
id: string;
name: string;
}
// Version 2 of a user interface, extending the original
export interface UserV2 extends UserV1 {
email: string;
}
Typed Configuration Management:
Using TypeScript for configuration files ensures that the configuration adheres to a specific structure, thus preventing configuration errors at runtime.
Example:
// Configuration interface
interface ServiceConfig {
port: number;
dbConnectionString: string;
}
// Function to get configuration
function getConfig(): ServiceConfig {
// Load and return configuration
}
Error Type Propagation:
Standardizing error types across services enables consistent error handling practices and simplifies troubleshooting.
Example:
// Common error interface
export interface ApiError {
statusCode: number;
message: string;
}
// Function to handle errors
function handleError(error: ApiError) {
// Log and respond with error
}
Performance Monitoring with Types:
Incorporate typed metrics and logs into your performance monitoring to ensure consistency and accuracy in your observability tooling.
Example:
// Typed performance metric
interface PerformanceMetric {
service: string;
endpoint: string;
responseTimeMs: number;
}
// Function to log performance metric
function logPerformanceMetric(metric: PerformanceMetric) {
// Log the metric
}
TypeScript Decorators for Middleware:
Decorators in TypeScript can elegantly attach middleware logic to endpoints, promoting reusability and maintainability.
Example:
// Middleware decorator for authentication
function Authenticate(target: any, propertyKey: string, descriptor: PropertyDescriptor) {
const originalMethod = descriptor.value;
descriptor.value = function (...args: any[]) {
// Authentication logic...
return originalMethod.apply(this, args);
};
}
class Service {
@Authenticate
getData() {
// Endpoint logic...
}
}
Type-Aware Service Discovery:
Implementing type-aware service discovery ensures that services find and interact with the correct types of services, avoiding miscommunication.
Example:
// Typed service registry
interface ServiceRegistry {
register<T>(service: T, identifier: string): void;
get<T>(identifier: string): T;
}
// Example usage
const registry: ServiceRegistry = {
// Registry implementation...
};
registry.register<UserService>('UserService', new UserService());
const userService = registry.get<UserService>('UserService');